Estimation of the vitrified canister production for a PWR fleet with the CLASS code
| Autor: | Gérald Senentz, N. Thiollière, Marc Ernoult, Jiali Liang, X. Doligez, Léa Tillard |
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| Přispěvatelé: | Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de physique subatomique et des technologies associées (SUBATECH), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Estimation
[PHYS]Physics [physics] 020303 mechanical engineering & transports 0203 mechanical engineering Computer science 020209 energy Nuclear engineering TK9001-9401 0202 electrical engineering electronic engineering information engineering Nuclear engineering. Atomic power Production (economics) 02 engineering and technology Class Code |
| Zdroj: | Eur.Phys.J.N Technical Workshop on Fuel Cycle Simulation 2021 Technical Workshop on Fuel Cycle Simulation 2021, Jun 2021, Online, France. pp.21, ⟨10.1051/epjn/2021020⟩ EPJ Nuclear Sciences & Technologies, Vol 7, p 21 (2021) |
| DOI: | 10.1051/epjn/2021020⟩ |
| Popis: | International audience; This article presents an assessment of fuel cycle parameter impact on waste production through the prism of vitrified container and minor actinide masses, using a scenario simulated with the CLASS code. The number of canister introduces a new focus on waste production estimation for a nuclear fleet, as it helps to set the repository size for deep geological disposal of high level waste. To evaluate the number of canisters, dedicated developments to model a simplified waste vitrification unit in the CLASS package are presented. It relies on artificial neural network estimations of decay heat, α radiation and mass content, for different material flow coming from reprocessing and sent to vitrification. Then, the studied scenario considers a transition from a PWRs plutonium mono-recycling fleet to a plutonium multi-recycling fleet. Vitrified waste container production is calculated as a function of different material reprocessing options. Simulations shows that up to 19% variation may be observed (in 2060) in canisters’ total number depending on the different assumptions. Impact of vitrification parameters such as the size of buffer before vitrification is also analysed and the importance of mixing material coming from MOX and MIX spent fuels with material from UOX spent fuels is clearly established. |
| Databáze: | OpenAIRE |
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